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Comparison of Three ELISA Assays for the Detection and Quantification of Autoantibodies Against Complement Factor H 三种ELISA法检测和定量补体因子H自身抗体的比较。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-11-27 DOI: 10.1111/ijlh.70028
Sandrine Thouzeau-Benghezal, Clémence Merlen, Emmanuelle Pépin, Laurine Boulanger, Rayan Yousfi, Anne-Laure Lapeyraque, Alexandra Cambier, Georges-Etienne Rivard, Stéphan Troyanov, Arnaud Bonnefoy
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引用次数: 0
ICSH Recommendations for Monocyte Cell Lineage Morphologic Identification, Nomenclature Harmonization, and Utilization as a Biomarker ICSH关于单核细胞谱系形态学鉴定、命名协调和作为生物标志物的应用的建议。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-11-26 DOI: 10.1111/ijlh.70029
Gina Zini, Yoon Hwan Chang, Giuseppe d'Onofrio, John Frater, Ulrich Germing, Anna Merino, Olga Pozdnyakova, David Ross, Claudio Romulo Siqueira Filho, Akiyoshi Takami, Erber Wendy

Monocytes are key components of the Mononuclear Phagocyte System, crucial in immune defense, inflammation, and tissue repair. Accurate identification and classification of monocyte lineage cells are essential for diagnosing both reactive and clonal hematologic disorders. However, morphological criteria and nomenclature inconsistencies have hindered reproducibility, particularly with the rise of automated and AI-driven diagnostic tools. The International Council for Standardization in Haematology (ICSH) Monocyte Working Group (MWG) was convened to establish standardized morphological definitions, harmonize nomenclature for monocytes and their precursors, and evaluate their clinical utility as biomarkers. Data were collected from global laboratories, combined with an extensive literature review and consensus feedback from the ICSH General Assembly. The MWG proposes a three-category morphological classification: blasts and blast equivalents (monoblasts and promonocytes), immature monocytes, and mature monocytes. The recommendations reaffirm the importance of morphological analysis, cytochemical staining, and flow cytometry for accurate diagnosis. Emerging automated parameters, such as monocyte distribution width (MDW), and ratios like lymphocyte/monocyte (LMR) and neutrophil/monocyte (NMR), are also recognized as valuable adjunctive biomarkers. Cytogenetic and molecular results may also impact the utilization of monocytes as a biomarker. These harmonized recommendations aim to improve diagnostic accuracy, support the development of machine learning tools, and facilitate consistent reporting across laboratories worldwide.

单核细胞是单核吞噬细胞系统的关键组成部分,在免疫防御、炎症和组织修复中起着至关重要的作用。准确的鉴定和分类单核细胞谱系细胞是诊断反应性和克隆性血液病必不可少的。然而,形态学标准和命名法的不一致阻碍了再现性,特别是随着自动化和人工智能驱动的诊断工具的兴起。国际血液学标准化委员会(ICSH)单核细胞工作组(MWG)成立的目的是建立标准化的形态学定义,协调单核细胞及其前体的命名,并评估其作为生物标志物的临床应用。从全球实验室收集数据,结合广泛的文献综述和ICSH大会的共识反馈。MWG提出了三种形态分类:母细胞和母细胞等同物(单核细胞和前单核细胞)、未成熟单核细胞和成熟单核细胞。这些建议重申了形态学分析、细胞化学染色和流式细胞术对准确诊断的重要性。新兴的自动化参数,如单核细胞分布宽度(MDW),以及淋巴细胞/单核细胞(LMR)和中性粒细胞/单核细胞(NMR)等比率,也被认为是有价值的辅助生物标志物。细胞遗传学和分子结果也可能影响单核细胞作为生物标志物的利用。这些协调一致的建议旨在提高诊断准确性,支持机器学习工具的开发,并促进全球实验室之间的一致报告。
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引用次数: 0
Reevaluating Lipemic Interference in D-Dimer Measurement: Evidence of Instrument-Dependent Overestimation 重新评估d -二聚体测量中的血脂干扰:仪器依赖性高估的证据。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-11-11 DOI: 10.1111/ijlh.70022
Jia Du, Xiaohui Liu, Zhenlu Zhang, Litao Zhang
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引用次数: 0
Post-Transplant Aggressive NK-Cell Leukemia: De Novo Versus Lineage-Shift With Recurrent Hepatosplenic T-Cell Lymphoma in the Setting of Chronic EBV Viremia 移植后侵袭性nk细胞白血病:慢性EBV病毒血症下复发性肝脾t细胞淋巴瘤的新生与谱系转移
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-11-06 DOI: 10.1111/ijlh.70016
Juanyu Ke, Yiwen Zhou, Lei Chen, Siping Chen, Xi Lan
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引用次数: 0
Establishing Reference Ranges and Evaluating Clinical Factors of the Complete Blood Count in Neonates Admitted to a Neonatal Intensive Care Unit 建立参考范围和评估临床因素的新生儿全血细胞计数入住新生儿重症监护病房。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-11-06 DOI: 10.1111/ijlh.70014
Emily Hyde, Jarob Saker, Stephen Kennedy, Mark Anthony, Manu Vatish

Introduction

Accurate complete blood count (CBC) reference intervals are essential for neonatal care. However, existing reference intervals do not account for key clinical variables such as sex, postnatal age, gestational age at birth and corticosteroid exposure. This study aims to establish updated CBC reference intervals for neonates admitted to a Neonatal Intensive Care Unit (NICU) while evaluating the effects of these factors on the CBC.

Methods

In this retrospective cohort study, all neonates admitted to the NICU at the John Radcliffe Hospital (Oxford, United Kingdom) between January 2022 and January 2023 were eligible for inclusion. Routine CBCs were included if there was no suspicion of infection or necrotising enterocolitis, no recent surgical interventions and no signs of clinical deterioration. The effects of sex, gestational age at birth and postnatal age were assessed for 48 parameters of the CBC using multivariate ANOVAs. Reference intervals were calculated at the 95% level.

Results

Among 3490 CBC results from 587 neonates, 386 results from 196 neonates met inclusion criteria. Sex-related differences were observed in nine parameters. Gestational and postnatal age both significantly influenced 34 parameters. Reference intervals were produced for all 48 CBC parameters, with histograms and boxplots illustrating variations by sex, postnatal age and gestational age. Secondary analyses highlighted the effects of corticosteroid exposure.

Conclusions

We present reference intervals for 48 neonatal CBC parameters, highlighting the influence of sex, postnatal age, gestational age at birth and corticosteroid exposure. These findings improve the interpretation of neonatal CBCs and propose criteria for defining a sufficiently healthy neonatal population for diagnostic research.

准确的全血细胞计数(CBC)参考间隔是必不可少的新生儿护理。然而,现有的参考区间没有考虑到关键的临床变量,如性别、出生后年龄、出生时胎龄和皮质类固醇暴露。本研究旨在为新生儿重症监护病房(NICU)的新生儿建立更新的CBC参考区间,同时评估这些因素对CBC的影响。方法:在这项回顾性队列研究中,所有在2022年1月至2023年1月期间在英国牛津约翰拉德克利夫医院(John Radcliffe Hospital, Oxford, uk)入住NICU的新生儿都符合入选条件。如果没有感染或坏死性小肠结肠炎的嫌疑,没有最近的手术干预,没有临床恶化的迹象,则纳入常规CBCs。使用多变量方差分析评估了性别、出生胎龄和出生后年龄对CBC的48个参数的影响。参考区间按95%水平计算。结果:587例新生儿3490例CBC结果中,196例新生儿386例符合纳入标准。在9个参数中观察到与性别相关的差异。胎龄和出生后年龄对34项参数均有显著影响。为所有48个CBC参数生成参考区间,用直方图和箱形图说明性别、出生后年龄和胎龄的变化。二次分析强调了皮质类固醇暴露的影响。结论:我们提出了48个新生儿CBC参数的参考区间,强调了性别、出生年龄、出生胎龄和皮质类固醇暴露的影响。这些发现改进了对新生儿CBCs的解释,并为诊断研究提供了定义足够健康的新生儿人群的标准。
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引用次数: 0
Complex t(8;14;18)(q24;q32;q21) Together With Novel t(3;6)(q27;p23) in Triple-Hit High-Grade B-Cell Lymphoma Showing Burkitt-Like Cytology 复合体t(8;14;18)(q24;q32;q21)与新颖t(3;6)(q27;p23)在三击高级别b细胞淋巴瘤中表现为伯基特样细胞学。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-10-23 DOI: 10.1111/ijlh.70018
Katsuya Yamamoto, Keiji Kurata, Kimikazu Yakushijin, Hironobu Minami
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引用次数: 0
Artefactual Heat Induced Full Blood Examination Changes in a Patient With Cold Agglutinins 冷凝集素患者人工热诱导全血检查的变化。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-10-23 DOI: 10.1111/ijlh.70020
Benjamin L. Hartog, G. Rowley, S. Juneja
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引用次数: 0
The Clinical Significance of CD371 Expression Detected by Flow Cytometry in Primary Myelofibrosis 流式细胞术检测CD371在原发性骨髓纤维化中的表达及临床意义。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-10-15 DOI: 10.1111/ijlh.70015
Zhang Bingyao, Zhang Xuxi, Fu Zhaoqiang, Yang Qian, Qin Youwen

Objective

This study aims to analyze the expression patterns of CD371 in CD34+CD117+ bone marrow (BM) cells from patients with primary myelofibrosis (PMF) using flow cytometry (FCM), with a comparative evaluation against conventional antigens to assess its potential clinical utility for identifying aberrant immunophenotypes in PMF.

Methods

A retrospective analysis was conducted on BM samples from 26 PMF patients and 20 control individuals. We evaluated the proportions of CD34+CD117+ cells and basophils, as well as the expression profiles—including positive cell percentages, mean fluorescence intensity (MFI), and coefficient of variation (CV) of MFI—of CD371, CD34, CD117, CD13, CD33, CD123, CD38, HLA-DR, and CD7 within the CD34+CD117+ population.

Results

Control group exhibited consistent bimodal CD371 expression, while PMF samples showed three distinct patterns. PMF demonstrated significant differences vs. controls in CD371 MFI (p < 0.01), MFI CV (p < 0.01), and CD371+ cell proportion (p < 0.05). Within CD371+ cells, MFI and MFI CV also differed significantly (both p < 0.01). Significant differences (p < 0.01) were observed in: CD34+CD117+ proportion, CD34 MFI/MFI CV, basophil proportion, CD38dim+ proportion/CD38 MFI/MFI CV. No significant differences were observed for CD13+ cell proportion (p = 0.154) or CD13 MFI (p = 0.835), though the MFI CV was significantly different (p < 0.01). CD33+ cell proportion (p < 0.05) and CD33 MFI (p < 0.05) showed significant differences, while the MFI CV did not (p = 0.276).

Conclusion

This study provides the first characterization of CD371 expression patterns in PMF, showing significantly different expression profiles compared to controls. While CD371 demonstrated comparable performance to standard markers (CD34/CD38/CD13/CD33) and showed better discrimination than CD123/HLA-DR, these preliminary findings suggest its potential utility for: (1) identifying abnormal CD34+CD117+ populations in PMF, and (2) possible integration into routine clinical workflows, pending further validation in larger cohorts.

目的:本研究旨在利用流式细胞术(FCM)分析CD371在原发性骨髓纤维化(PMF)患者的CD34+CD117+骨髓(BM)细胞中的表达模式,并与常规抗原进行比较评估,以评估其在鉴别PMF异常免疫表型方面的潜在临床应用价值。方法:回顾性分析26例PMF患者和20例对照者的BM样本。我们评估了CD34+CD117+细胞和嗜碱性粒细胞的比例,以及CD371、CD34、CD117、CD13、CD33、CD123、CD38、HLA-DR和CD7在CD34+CD117+群体中的表达谱,包括阳性细胞百分比、平均荧光强度(MFI)和MFI变异系数(CV)。结果:对照组CD371表现出一致的双峰表达,而PMF样品则表现出三种不同的模式。PMF在CD371 MFI (p +细胞比例)、MFI和MFI CV (p +CD117+比例、CD34 MFI/MFI CV、嗜碱性细胞比例、CD38dim+比例/CD38 MFI/MFI CV)方面均与对照组有显著差异。CD13+细胞比例(p = 0.154)或CD13 MFI (p = 0.835)没有显著差异,尽管MFI CV有显著差异(p +细胞比例(p))。结论:本研究首次表征了PMF中CD371表达模式,显示出与对照组相比有显著差异的表达谱。虽然CD371表现出与标准标记物(CD34/CD38/CD13/CD33)相当的性能,并且比CD123/HLA-DR表现出更好的辨别能力,但这些初步研究结果表明,它可能用于:(1)识别PMF中异常的CD34+CD117+人群,(2)可能整合到常规临床工作流程中,有待于在更大的队列中进一步验证。
{"title":"The Clinical Significance of CD371 Expression Detected by Flow Cytometry in Primary Myelofibrosis","authors":"Zhang Bingyao,&nbsp;Zhang Xuxi,&nbsp;Fu Zhaoqiang,&nbsp;Yang Qian,&nbsp;Qin Youwen","doi":"10.1111/ijlh.70015","DOIUrl":"10.1111/ijlh.70015","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objective</h3>\u0000 \u0000 <p>This study aims to analyze the expression patterns of CD371 in CD34<sup>+</sup>CD117<sup>+</sup> bone marrow (BM) cells from patients with primary myelofibrosis (PMF) using flow cytometry (FCM), with a comparative evaluation against conventional antigens to assess its potential clinical utility for identifying aberrant immunophenotypes in PMF.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A retrospective analysis was conducted on BM samples from 26 PMF patients and 20 control individuals. We evaluated the proportions of CD34<sup>+</sup>CD117<sup>+</sup> cells and basophils, as well as the expression profiles—including positive cell percentages, mean fluorescence intensity (MFI), and coefficient of variation (CV) of MFI—of CD371, CD34, CD117, CD13, CD33, CD123, CD38, HLA-DR, and CD7 within the CD34<sup>+</sup>CD117<sup>+</sup> population.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Control group exhibited consistent bimodal CD371 expression, while PMF samples showed three distinct patterns. PMF demonstrated significant differences vs. controls in CD371 MFI (<i>p</i> &lt; 0.01), MFI CV (<i>p</i> &lt; 0.01), and CD371<sup>+</sup> cell proportion (<i>p</i> &lt; 0.05). Within CD371<sup>+</sup> cells, MFI and MFI CV also differed significantly (both <i>p</i> &lt; 0.01). Significant differences (<i>p</i> &lt; 0.01) were observed in: CD34<sup>+</sup>CD117<sup>+</sup> proportion, CD34 MFI/MFI CV, basophil proportion, CD38<sup>dim+</sup> proportion/CD38 MFI/MFI CV. No significant differences were observed for CD13<sup>+</sup> cell proportion (<i>p</i> = 0.154) or CD13 MFI (<i>p</i> = 0.835), though the MFI CV was significantly different (<i>p</i> &lt; 0.01). CD33<sup>+</sup> cell proportion (<i>p</i> &lt; 0.05) and CD33 MFI (<i>p</i> &lt; 0.05) showed significant differences, while the MFI CV did not (<i>p</i> = 0.276).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>This study provides the first characterization of CD371 expression patterns in PMF, showing significantly different expression profiles compared to controls. While CD371 demonstrated comparable performance to standard markers (CD34/CD38/CD13/CD33) and showed better discrimination than CD123/HLA-DR, these preliminary findings suggest its potential utility for: (1) identifying abnormal CD34<sup>+</sup>CD117<sup>+</sup> populations in PMF, and (2) possible integration into routine clinical workflows, pending further validation in larger cohorts.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"48 1","pages":"110-116"},"PeriodicalIF":2.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145294805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pediatric Severe Eosinophilia: Etiological Spectrum, Diagnostic Algorithm, and Case-Based Insights From a Tertiary Care Center 儿童严重嗜酸性粒细胞增多症:病因谱,诊断算法,并从三级护理中心的病例为基础的见解。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-10-15 DOI: 10.1111/ijlh.70013
Neha Goel, Sumit Mehndiratta, Satyendra Batra, Amitabh Singh, Prashant Prabhakar, Aroonima Misra, Bhavika Rishi, Nidhi Chopra, Sanghamitra Ray

Purpose

Pediatric hypereosinophilia (HE) is rare, and its evaluation is challenging due to diverse etiologies and limited access to advanced laboratory testing in low- and middle-income countries (LMICs).

Methods

We retrospectively analyzed five children with HE (absolute eosinophil count > 5.0 × 109/L) evaluated at a tertiary center. Clinical, hematologic, and molecular findings were reviewed, and diagnostic timelines were compared between clonal and non-clonal cases. Based on these observations, a tiered, laboratory-driven diagnostic pathway adapted for LMICs was developed.

Results

Five patients (median age: 6 years; range: 1.5–10 years) were included. The median absolute eosinophil count (AEC) at presentation was 12.8 × 109/L (range: 6.5–21.5 × 109/L). Three cases (60%) were clonal eosinophilia—one PDGFRB-rearranged myeloid/lymphoid neoplasm and two acute myeloid leukemia subtypes [AML with CBFB::MYH11, AML with RUNX1::RUNX1T1]—and two cases (40%) were non-clonal [one Hyper-IgE syndrome with secondary hemophagocytic lymphohistiocytosis (HLH), one secondary eosinophilia (drug-induced, phenytoin/phenobarbitone)]. Clonal cases demonstrated higher leukocyte counts, earlier bone marrow and molecular testing, and shorter median time to diagnosis (6 vs. 14 days), enabling prompt initiation of imatinib or AML-directed therapy with remission in all. In contrast, non-clonal HE required sequential exclusion of clonal disease, delaying immunosuppressive or drug-withdrawal strategies.

Conclusion

A structured, laboratory-driven algorithm beginning with blood counts, smear, and parasitic testing, and escalating to early bone marrow with cytogenetic/molecular studies for high-risk phenotypes, enabled timely identification of clonal HE while conserving resources in reactive cases. This LMIC-adapted pathway highlights laboratory turnaround time as a critical determinant of outcomes and provides a practical framework for pediatric HE evaluation.

目的:儿童嗜酸性粒细胞增多症(HE)是罕见的,由于多种病因和在低收入和中等收入国家(LMICs)获得先进实验室检测的机会有限,其评估具有挑战性。方法:我们回顾性分析了5例在三级中心进行HE(绝对嗜酸性粒细胞计数> 5.0 × 109/L)评估的儿童。临床,血液学和分子的发现进行了回顾,并在克隆和非克隆病例的诊断时间进行了比较。基于这些观察结果,开发了适合低收入国家的分层、实验室驱动的诊断途径。结果:纳入5例患者,中位年龄6岁,范围1.5 ~ 10岁。出现时嗜酸性粒细胞绝对计数(AEC)的中位数为12.8 × 109/L(范围:6.5-21.5 × 109/L)。3例(60%)为克隆性嗜酸性粒细胞增多症(1例pdgfrb重排的髓系/淋巴系肿瘤和2例急性髓系白血病亚型[AML伴CBFB::MYH11, AML伴RUNX1::RUNX1T1]), 2例(40%)为非克隆性[1例高ige综合征伴继发性噬血细胞淋巴组织细胞增多症(HLH), 1例继发性嗜酸性粒细胞增多症(药物诱导,苯妥英/苯巴比妥)]。克隆病例表现出更高的白细胞计数,更早的骨髓和分子检测,以及更短的中位诊断时间(6天vs. 14天),能够迅速开始伊马替尼或aml定向治疗,所有患者均缓解。相比之下,非克隆HE需要顺序排除克隆性疾病,延迟免疫抑制或停药策略。结论:一种结构化的、实验室驱动的算法,从血细胞计数、涂片和寄生虫检测开始,通过高危表型的细胞遗传学/分子研究升级到早期骨髓,能够及时识别克隆性HE,同时节省反应性病例的资源。这种适应lmic的途径强调实验室周转时间是结果的关键决定因素,并为儿科HE评估提供了实用的框架。
{"title":"Pediatric Severe Eosinophilia: Etiological Spectrum, Diagnostic Algorithm, and Case-Based Insights From a Tertiary Care Center","authors":"Neha Goel,&nbsp;Sumit Mehndiratta,&nbsp;Satyendra Batra,&nbsp;Amitabh Singh,&nbsp;Prashant Prabhakar,&nbsp;Aroonima Misra,&nbsp;Bhavika Rishi,&nbsp;Nidhi Chopra,&nbsp;Sanghamitra Ray","doi":"10.1111/ijlh.70013","DOIUrl":"10.1111/ijlh.70013","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Purpose</h3>\u0000 \u0000 <p>Pediatric hypereosinophilia (HE) is rare, and its evaluation is challenging due to diverse etiologies and limited access to advanced laboratory testing in low- and middle-income countries (LMICs).</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>We retrospectively analyzed five children with HE (absolute eosinophil count &gt; 5.0 × 10<sup>9</sup>/L) evaluated at a tertiary center. Clinical, hematologic, and molecular findings were reviewed, and diagnostic timelines were compared between clonal and non-clonal cases. Based on these observations, a tiered, laboratory-driven diagnostic pathway adapted for LMICs was developed.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>Five patients (median age: 6 years; range: 1.5–10 years) were included. The median absolute eosinophil count (AEC) at presentation was 12.8 × 10<sup>9</sup>/L (range: 6.5–21.5 × 10<sup>9</sup>/L). Three cases (60%) were clonal eosinophilia—one PDGFRB-rearranged myeloid/lymphoid neoplasm and two acute myeloid leukemia subtypes [AML with CBFB::MYH11, AML with RUNX1::RUNX1T1]—and two cases (40%) were non-clonal [one Hyper-IgE syndrome with secondary hemophagocytic lymphohistiocytosis (HLH), one secondary eosinophilia (drug-induced, phenytoin/phenobarbitone)]. Clonal cases demonstrated higher leukocyte counts, earlier bone marrow and molecular testing, and shorter median time to diagnosis (6 vs. 14 days), enabling prompt initiation of imatinib or AML-directed therapy with remission in all. In contrast, non-clonal HE required sequential exclusion of clonal disease, delaying immunosuppressive or drug-withdrawal strategies.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusion</h3>\u0000 \u0000 <p>A structured, laboratory-driven algorithm beginning with blood counts, smear, and parasitic testing, and escalating to early bone marrow with cytogenetic/molecular studies for high-risk phenotypes, enabled timely identification of clonal HE while conserving resources in reactive cases. This LMIC-adapted pathway highlights laboratory turnaround time as a critical determinant of outcomes and provides a practical framework for pediatric HE evaluation.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"48 1","pages":"150-164"},"PeriodicalIF":2.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145294758","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Machine Learning-Based Prediction of β-Thalassemia Trait Using Red Blood Cell Indices 基于机器学习的红细胞指标预测β-地中海贫血特征。
IF 2.3 4区 医学 Q3 HEMATOLOGY Pub Date : 2025-10-15 DOI: 10.1111/ijlh.70017
Esra Paydaş Hataysal, Muslu Kazım Körez

Objectives

Anemia is a significant global health concern, with hypochromic microcytic anemia being the most common type. Among its causes, β-thalassemia trait (β-TT) and iron deficiency anemia (IDA) share similar hematological features, making differentiation challenging. We aimed to develop machine learning (ML) models using routine red blood cell (RBC) indices to distinguish β-TT, IDA, and healthy cases.

Methods

A total of 8106 individuals (3378 healthy, 2696 IDA, 2032 β-TT) were included in this study. Six RBC parameters—RBC count, hemoglobin (HGB), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), MCH concentration (MCHC), and RBC distribution width (RDW-CV)—were used to train eXtreme gradient boosting (XGB), random forest (RF), and neural network (NN) models. The dataset was split into training (70%) and testing (30%) sets, with feature importance assessed via the Boruta algorithm. All statistical analyses were performed using R version 4.3.1 Statistical Language.

Results

All models achieved high accuracy (> 97%), with RF demonstrating superior performance (97.86% accuracy, 99.71% AUC). The most significant features contributing to the models are MCH for the XGB algorithm, MCV for the RF algorithm, and HGB for the NN algorithm.

Conclusions

Our findings demonstrate that ML-based models could offer a promising tool for improving β-TT detection, optimizing clinical workflows, and enhancing resource utilization in hematology.

目的:贫血是一个重要的全球健康问题,低色性小细胞性贫血是最常见的类型。在其病因中,β-地中海贫血性状(β-TT)和缺铁性贫血(IDA)具有相似的血液学特征,使其鉴别具有挑战性。我们的目标是开发机器学习(ML)模型,使用常规红细胞(RBC)指数来区分β-TT、IDA和健康病例。方法:共纳入8106例,其中健康人3378例,IDA 2696例,β-TT 2032例。六个红细胞参数——红细胞计数、血红蛋白(HGB)、平均红细胞体积(MCV)、平均红细胞血红蛋白(MCH)、MCH浓度(MCHC)和红细胞分布宽度(RDW-CV)——用于训练极限梯度增强(XGB)、随机森林(RF)和神经网络(NN)模型。数据集被分成训练集(70%)和测试集(30%),通过Boruta算法评估特征重要性。所有统计分析均使用R版本4.3.1统计语言进行。结果:所有模型均获得了较高的准确率(bb0 97%),其中RF表现出较好的性能(准确率97.86%,AUC 99.71%)。对模型贡献最大的特征是XGB算法的MCH, RF算法的MCV和NN算法的HGB。结论:我们的研究结果表明,基于ml的模型可以提供一个有前途的工具,以提高β-TT检测,优化临床工作流程,提高血液学资源利用。
{"title":"Machine Learning-Based Prediction of β-Thalassemia Trait Using Red Blood Cell Indices","authors":"Esra Paydaş Hataysal,&nbsp;Muslu Kazım Körez","doi":"10.1111/ijlh.70017","DOIUrl":"10.1111/ijlh.70017","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <h3> Objectives</h3>\u0000 \u0000 <p>Anemia is a significant global health concern, with hypochromic microcytic anemia being the most common type. Among its causes, β-thalassemia trait (β-TT) and iron deficiency anemia (IDA) share similar hematological features, making differentiation challenging. We aimed to develop machine learning (ML) models using routine red blood cell (RBC) indices to distinguish β-TT, IDA, and healthy cases.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Methods</h3>\u0000 \u0000 <p>A total of 8106 individuals (3378 healthy, 2696 IDA, 2032 β-TT) were included in this study. Six RBC parameters—RBC count, hemoglobin (HGB), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), MCH concentration (MCHC), and RBC distribution width (RDW-CV)—were used to train eXtreme gradient boosting (XGB), random forest (RF), and neural network (NN) models. The dataset was split into training (70%) and testing (30%) sets, with feature importance assessed via the Boruta algorithm. All statistical analyses were performed using R version 4.3.1 Statistical Language.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Results</h3>\u0000 \u0000 <p>All models achieved high accuracy (&gt; 97%), with RF demonstrating superior performance (97.86% accuracy, 99.71% AUC). The most significant features contributing to the models are MCH for the XGB algorithm, MCV for the RF algorithm, and HGB for the NN algorithm.</p>\u0000 </section>\u0000 \u0000 <section>\u0000 \u0000 <h3> Conclusions</h3>\u0000 \u0000 <p>Our findings demonstrate that ML-based models could offer a promising tool for improving β-TT detection, optimizing clinical workflows, and enhancing resource utilization in hematology.</p>\u0000 </section>\u0000 </div>","PeriodicalId":14120,"journal":{"name":"International Journal of Laboratory Hematology","volume":"48 1","pages":"211-219"},"PeriodicalIF":2.3,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145305140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
期刊
International Journal of Laboratory Hematology
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